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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 24488
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    Explanations

    dates or time-related events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "after" in varying context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¹ãĥĪ
    -0.65
    女
    -0.64
    CCC
    -0.64
    ements
    -0.63
    oys
    -0.62
    OO
    -0.62
    åŃ
    -0.61
    NRS
    -0.61
    ����
    -0.60
    cci
    -0.60
    POSITIVE LOGITS
    noon
    1.16
    wards
    1.10
    ward
    1.06
    word
    1.02
    math
    1.00
    words
    0.87
     graduating
    0.81
    forming
    0.79
    market
    0.75
     completing
    0.74
    Activations Density 0.063%

    No Known Activations